You can try manually describing the style (for example, using modifiers or referencing similar art mediums like chiaroscuro, acrylic, etc.), and this can work.
Alternatively, if you have a specific style in mind:
Collect several image examples of the style you like, then either run them through CLIP or feed them into a multimodal model such as gpt-image-1.5. Ask it to generate a list of stylistic modifiers (keywords) that you can then append to prompts for NB / Seedream.
However, if the style is sufficiently underrepresented in the training data, no amount of prompting will fully overcome that limitation. Here's an example where I tried to see if NB Pro could recreate some of Yoichi Kotabe's earlier work but it just defaulted to a pretty generic looking illustrative style:
You can try manually describing the style (for example, using modifiers or referencing similar art mediums like chiaroscuro, acrylic, etc.), and this can work.
Alternatively, if you have a specific style in mind:
Collect several image examples of the style you like, then either run them through CLIP or feed them into a multimodal model such as gpt-image-1.5. Ask it to generate a list of stylistic modifiers (keywords) that you can then append to prompts for NB / Seedream.
However, if the style is sufficiently underrepresented in the training data, no amount of prompting will fully overcome that limitation. Here's an example where I tried to see if NB Pro could recreate some of Yoichi Kotabe's earlier work but it just defaulted to a pretty generic looking illustrative style:
https://imgur.com/a/failed-style-transfer-nb-pro-o3htsKn